Proxy Discrimination in the Age of Artificial Intelligence and Big Data¶
Prince, A. E. R., & Schwarcz, D. (2020). Proxy Discrimination in the Age of Artificial Intelligence and Big Data. Iowa Law Review, 1257-1318.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Classification Disagreement Audit
- Second, when the disagreements are sliced by applicant features, they cluster on postcode in a way that tracks a protected characteristic more than it tracks default history — a bias signal, since postcode is standing in as a proxy.
This sourceIdentifies zip code as a potential proxy for protected-group membership and explains how correlated inputs can produce proxy discrimination.
- Second, when the disagreements are sliced by applicant features, they cluster on postcode in a way that tracks a protected characteristic more than it tracks default history — a bias signal, since postcode is standing in as a proxy.
Verification¶
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Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
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Registry ID ref:0a279f9262bf · see in the full table